Public perspectives of monkeypox in Twitter: A social media analysis using machine learning

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dc.contributor.authorFarahat, Ramadan Abdelmoez
dc.contributor.authorYassin, Mohammed Abdelwahab
dc.contributor.authorAl-Tawfiq, Jaffar A.
dc.contributor.authorBejan, Cosmin A.
dc.contributor.authorAbdelazeem, Basel
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2023-09-27T14:29:11Z
dc.date.available2023-09-27T14:29:11Z
dc.date.issued2022
dc.eprint.versionFinal published version
dc.identifier.citationFarahat RA, Yassin MA, Al-Tawfiq JA, Bejan CA, Abdelazeem B. Public perspectives of monkeypox in Twitter: A social media analysis using machine learning. New Microbes New Infect. 2022;49:101053. doi:10.1016/j.nmni.2022.101053
dc.identifier.urihttps://hdl.handle.net/1805/35830
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.nmni.2022.101053
dc.relation.journalNew Microbes and New Infections
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectMonkeypox virus (MPXV)
dc.subjectPublic trends
dc.subjectPublic views
dc.subjectTwitter
dc.titlePublic perspectives of monkeypox in Twitter: A social media analysis using machine learning
dc.typeArticle
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